Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise [PDF]
Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise.
Jingjing He +3 more
doaj +4 more sources
Adaptive Strong Tracking Square-Root Cubature Kalman Filter for Maneuvering Aircraft Tracking
A novel strong tracking square-root cubature Kalman filter (SCKF) based on the adaptive current statistical (CS) model is proposed aiming at the maneuvering aircraft tracking problem.
Haowei Zhang +4 more
doaj +4 more sources
Adaptively Robust Square-Root Cubature Kalman Filter Based on Amending [PDF]
To solve the problem of decreased filtering accuracy and even filter divergence for the case that the model errors and measurement outliers exist simultaneously, an adaptively robust square-root cubature Kalman filter (SRCKF) based on amending is ...
Chunhui Li +3 more
doaj +2 more sources
InSAR Phase Unwrapping Based on Square-Root Cubature Kalman Filter [PDF]
In this article, we propose a novel phase unwrapping method termed the square-root cubature Kalman filter phase unwrapping (SCKFPU) method. Specifically, as the system model of the interferometric synthetic aperture (InSAR) phase unwrapping can be ...
Xiaomei Luo +3 more
doaj +2 more sources
Square Root Cubature Kalman Filter-Kalman Filter Algorithm for Intelligent Vehicle Position Estimate
AbstractA new filtering algorithm, adaptive square root cubature Kalman filter-Kalman filter (SRCKF-KF) is proposed to reduce the problems of amount of calculation, complex formula-transform, low accuracy, poor convergence or even divergence. The method uses cubature Kalman filter (CKF) to estimate the nonlinear states of model while its linear states ...
Duan, Jianmin +3 more
openaire +3 more sources
State of charge (SOC) is a key parameter for lithium-ion battery management systems. The square root cubature Kalman filter (SRCKF) algorithm has been developed to estimate the SOC of batteries.
Xiangyu Cui +4 more
doaj +3 more sources
Sensorless control of PMSM using an adaptively tuned SCKF
This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath +1 more
doaj +2 more sources
Evaluation of advanced Kalman filter on real-time agricultural soil parameters through an IoT resources-constrained device [PDF]
Effective sensor denoising is crucial for accurate, real-time agricultural decision-support systems. This study explores the application of Unscented Kalman Filter (UKF) extensions on resource-constrained devices to improve sensor denoising and enhance ...
Egas Jose Armando +4 more
doaj +2 more sources
Accurate state-of-charge (SOC) estimation of lithium batteries is of great significance for electric vehicles. In this paper, a combined estimation method of multi-innovation unscented Kalman filter (MIUKF) and fractional order square root cubature ...
Likun Xing +4 more
doaj +3 more sources
State estimation of voltage and frequency stability in solar wind integrated grids using multiple filtering techniques [PDF]
The increasing integration of solar and wind energy into modern power grids introduces challenges in maintaining voltage and frequency stability due to their intermittent and uncertain nature.
Abdulelah Alharbi
doaj +2 more sources

